Agentic buying, from months to days
An executive-sponsored bet to compress the media brief-to-activation cycle. I prototyped the core to de-risk it, then led the team that productionized it — and proved it in a multi-client pilot.
The challenge
The company's marketing operating system had no agentic buying capability. Compressing the brief-to-activation cycle was a high-stakes, executive-sponsored bet — with real revenue and client trust on the line, and no existing blueprint to follow.
What I did
I led the initiative end to end. To de-risk a bet with real revenue and client trust on the line, I prototyped the core agentic reasoning myself — then built and led the team that productionized it, partnering across engineering, trading, and client teams. The system optimizes campaign outcomes within commercial constraints. We validated it in a structured pilot with three clients against real campaigns. (Architecture and outcome details shareable in conversation.)
We compressed brief-to-activation from months to days — and saved hundreds of hours per client campaign.
The outcome
In the pilot, brief-to-activation dropped from months to days, saving hundreds of hours of manual work per client campaign. All three pilot clients approved it, and the pilot generated both incremental revenue and net-new business — early, directional results that earned the next phase of investment.
Brief-to-activation cycle time
Pilot clients, all approved
Manual work saved per client campaign
Where it stands
The pilot moved into its live phase in mid-2026 and is active now, validating against real campaigns — and I continue to lead the initiative through its current phase.
What it proves
0-to-1 building, applied and agentic AI, executive sponsorship, hands-on technical depth, and commercial impact — the full arc from a blank page to revenue.